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TNF inhibitors have improved treatment of Crohn's disease, ulcerative colitis, spondyloarthritis, rheumatoid arthritis, psoriatic arthritis, and chronic plaque psoriasis, but are expensive therapies. The aim of NOR-SWITCH was to examine switching from originator infliximab to the less expensive biosimilar CT-P13 regarding efficacy, safety, and immunogenicity. The study is a randomised, non-inferiority, double-blind, phase 4 trial with 52 weeks of follow-up. Adult patients on stable treatment with infliximab originator treated in a hospital setting for at least 6 months were eligible for participation. Patients with informed consent were randomised in a 1:1 ratio to either continued infliximab originator or to switch to CT-P13 treatment, with unchanged dosing regimen. Data were collected at infusion visits in 40 Norwegian study centres. Patients, assessors, and patient care providers were masked to treatment allocation. The primary endpoint was disease worsening during 52-week follow-up. 394 patients in the primary per-protocol set were needed to show a non-inferiority margin of 15%, assuming 30% disease worsening in each group. This trial is registered with ClinicalTrials.gov, number NCT02148640. Between Oct 24, 2014, and July 8, 2015, 482 patients were enrolled and randomised (241 to infliximab originator, 241 to CT-P13 group; one patient was excluded from the full analysis and safety set for CT-P13) and 408 were included in the per-protocol set (202 in the infliximab originator group and 206 in the CT-P13 group). 155 (32%) patients in the full analysis set had Crohn's disease, 93 (19%) had ulcerative colitis, 91 (19%) had spondyloarthritis, 77 (16%) had rheumatoid arthritis, 30 (6%) had psoriatic arthritis, and 35 (7%) had chronic plaque psoriasis. Disease worsening occurred in 53 (26%) patients in the infliximab originator group and 61 (30%) patients in the CT-P13 group (per-protocol set; adjusted treatment difference −4·4%, 95% CI −12·7 to 3·9). The frequency of adverse events was similar between groups (for serious adverse events, 24 [10%] for infliximab originator vs 21 [9%] for CT-P13; for overall adverse events, 168 [70%] vs 164 [68%]; and for adverse events leading to discontinuation, nine [4%] vs eight [3%], respectively). The NOR-SWITCH trial showed that switching from infliximab originator to CT-P13 was not inferior to continued treatment with infliximab originator according to a prespecified non-inferiority margin of 15%. The study was not powered to show non-inferiority in individual diseases. Norwegian Ministry of Health and Care Services.

Objective To develop evidence-based recommendations on the use of imaging of the joints in the clinical management of rheumatoid arthritis (RA). Methods The task force comprised an expert group of rheumatologists, radiologists, methodologists and experienced rheumatology practitioners from 13 countries. Thirteen key questions on the role of imaging in RA were generated using a process of discussion and consensus. Imaging modalities included were conventional radiography, ultrasound, MRI, CT, dual-emission x-ray absorptiometry, digital x-ray radiogrammetry, scintigraphy and positron emission tomography. Research evidence was searched systematically for each question using MEDLINE, EMBASE and Cochrane CENTRAL. The experts used the evidence obtained from the relevant studies to develop a set of 10 recommendations. The strength of recommendation was assessed using a visual analogue scale. Results A total of 6888 references was identified from the search process, from which 199 studies were included in the systematic review. Ten recommendations were produced encompassing the role of imaging in making a diagnosis of RA, detecting inflammation and damage, predicting outcome and response to treatment, monitoring disease activity, progression and remission. The strength of recommendation for each proposition varied according to both the research evidence and expert opinion. Conclusions Ten key recommendations for the role of imaging in the management of RA were developed using research-based evidence and expert opinion.

Objectives To investigate whether baseline disease activity levels and responses in patients with rheumatoid arthritis (RA) changed during the period 2000–2010. Methods Data were provided by the Norwegian disease-modifying antirheumatic drug (NOR-DMARD) study. Patients with inflammatory joint diseases starting new treatment with disease-modifying antirheumatic drugs (DMARDs) were consecutively included and followed longitudinally. Time trend analyses were performed in methotrexate (MTX)-naïve RA patients starting MTX monotherapy (MTX mono) and biologic DMARD (bDMARD)-naïve RA patients starting tumour necrosis factor inhibitors+MTX (TNFi+MTX). Results A total of 2573 patients were included in the analyses: MTX mono n=1866 (69.9% female, 62.0% RF+, mean (SD) age 56.0 (13.7) years, median (25–75 percentile) time from diagnosis 0.2 (0.01–2.8) years); TNFi+MTX n=707 (70.3% female, 75.0% RF+, mean (SD) age 52.1 (13.2) years, median (25–75 percentile) time from diagnosis 5.7 (2.0–13.7) years). Significant time trends towards lower baseline disease activity score 28 (DAS28) as well as other disease activity measures were found in both groups (DAS28 from 5.17 to 4.75 in MTX mono and from 5.88 to 4.64 in TNFi+MTX), and disease duration became shorter. Six-month DAS28 remission rates increased significantly over the years (from 17.8 to 37.6 in MTX mono and from 16.9 to 46.3 in TNFi+MTX). Conclusions During the last decade, baseline RA disease activity level at the time of starting MTX as well as TNFi+MTX decreased from high to moderate. A more than twofold increase in 6-month remission rates was observed in both groups. Our findings indicate that clinicians have implemented modern, more aggressive treatment strategies, which hopefully will lead to better long-term disease outcomes.

Objectives To explore the frequency and predictors of flares over 2 years during a treat-to-target strategy with urate-lowering therapy (ULT) in patients with gout. Methods In the treat-to-target, tight control NOR-Gout study patients started ULT with escalating doses of allopurinol. Flares were recorded over 2 years. Baseline predictors of flares during months 9–12 in year 1 and during year 2 were analyzed by multivariable logistic regression. Results Of 211 patients included (mean age 56.4 years, disease duration 7.8 years, 95% males), 81% (150/186) of patients experienced at least one gout flare during the first year and 26% (45/173) during the second year. The highest frequency of flares in the first year was seen during months 3–6 (46.8% of patients). Baseline crystal depositions detected by ultrasound and by dual-energy computed tomography (DECT) were the only variables which predicted flares both during the first period of interest at months 9–12 (OR 1.033; 95% CI 1.010–1.057, and OR 1.056; 95% CI 1.007–1.108) and also in year 2. Baseline subcutaneous tophi (OR 2.42, 95% CI 1.50–5.59) and prior use of colchicine at baseline (OR 2.48, 95% CI 1.28-4.79) were independent predictors of flares during months 9–12, whereas self-efficacy for pain was a protective predictor (OR 0.98 per unit, 95% CI 0.964–0.996). Conclusions In patients with gout, flares remain frequent during the first year of a treat-to-target ULT strategy, especially during months 3–6, but are much less frequent during year 2. Baseline crystal depositions predict flares over 2 years, supporting ULT early during disease course. Trial registration ACTRN12618001372279

Background Rheumatoid arthritis (RA), particularly seronegative disease, is difficult to diagnose early, which can delay treatment initiation. This study aims to develop a binary DNA methylation (DNAm)-based algorithm to diagnose RA. Methods Three datasets (discovery, training, holdout) were constructed from DNAm profiles from 1366 persons (treatment-naïve RA, other inflammatory/autoimmune diseases, healthy individuals). DNAm features that differentiate RA from other inflammatory/autoimmune diseases and healthy individuals were identified using the discovery set. Our classification algorithm was developed using machine learning techniques in the training set. Its diagnostic performance, with and without serological status, was evaluated in the holdout set containing RA cases (15 seropositive, 6 seronegative) and controls (14 other arthritides, 11 healthy individuals). Results Our algorithm included 391 DNAm features. Combined with serological status, it classified RA from controls in the holdout set with the following performance: sensitivity 0.90 [95% CI: 0.70–0.99], specificity 0.88 [95% CI: 0.69–0.97], and AUC 0.96 [95% CI: 0.91–1.00]. Its performance in classifying patients with seronegative RA versus those with other arthritides was: sensitivity 0.83 [95% CI: 0.36–1.00], specificity 0.79 [95% CI: 0.49–0.95], and AUC 0.81 [95% CI: 0.61–1.00]. Conclusions The present DNAm-based classification algorithm may be clinically useful for the early diagnosis of RA, especially in seronegative patients, which currently often poses a diagnostic challenge.

Background The variability in treatment response in people with rheumatoid arthritis (RA) warrants the prediction of patients at high risk of treatment failure. Identification of biomarkers linked to clinical remission in RA is currently a challenge. Metabolomics may help to identify such biomarkers as it allows for a comprehensive exploration of disease-related variations that extends beyond the genome and proteome. This hypothesis-free exploratory metabolomics study aimed to profile serum metabolic alterations in early RA to understand the metabolic changes associated with disease activity and therapeutic response. Methods The study included 220 early RA participants from the NORD-STAR study, randomized at baseline into four arms, ranging from conventional anti-rheumatic treatment to biological drugs: methotrexate combined with prednisolone (1), certolizumab (2), abatacept (3), or tocilizumab (4). Untargeted metabolomics was performed in serum samples at baseline and 24-week follow-up. Participants achieving clinical disease activity index remission at 24 weeks were defined as responders. Machine learning models for treatment response were constructed using random forest, logistic regression, support vector machine and extreme gradient boosting algorithms based on selected features. Results We identified 278 metabolites, of which 39 were associated with baseline disease activity, including several acylcarnitines and amino acids. We also found 17 baseline metabolites associated with remission at 24 weeks in the overall cohort, including malic acid (β=-0.4), cytidine (β = 0.4), arginine (β = 0.3), and citrulline (β = 0.2), as well as specific metabolites and metabolic pathways associated with remission in the four treatment arms. Fifteen features were identified using machine learning-based multivariable selection. The best predictive model using logistic regression achieved AUC of 0.75 in training and 0.73 in the test set. Conclusions Our study has identified several baseline metabolites and metabolic pathways associated with disease activity and response to different treatments in early RA. By integrating metabolomics and clinical data, we developed predictive models for response to treatment in early RA, though their predictive performance remains limited.

Objectives One goal of remission in rheumatoid arthritis (RA) is to halt joint damage. The authors assessed the progression of radiographic joint damage among RA patients in remission by the new ACR/EULAR criteria (Boolean approach) compared with remission thresholds for the simplified disease activity index (SDAI), clinical disease activity index (CDAI) and disease activity score based on 28 joints and C-reactive protein (DAS28-CRP) in an observational cohort, and evaluated the relationship between time in remission and radiographic joint damage. Methods 535 RA patients underwent physical examination and laboratory assessment at baseline, 1 and 2 years. Radiographs at baseline and 2 years were scored by the van der Heijde modified Sharp score (TSS). Positive likelihood ratios for a good radiographic outcome (change in TSS <1 unit/year) were calculated for each of the remission criteria. Radiographic progression was compared between patients in remission at none, one, two and three visits by χ2 goodness of fit statistics. Results 20% of patients in ACR/EULAR remission at baseline had radiographic progression, 24% in SDAI remission, 19% in CDAI remission and 30% of patients in DAS28–CRP remission. The positive likelihood ratio for good radiographic outcome was 2.6 for ACR/EULAR criteria, 2.1 for SDAI, 2.8 for CDAI and.1.5 for DAS28–CRP. Reduced radiographic progression was observed for patients with an increasing number of visits in remission (p<0.003 for all criteria, χ2 goodness of fit statistics). Conclusions Patients with RA in remission by any established criteria can experience radiographic progression. An increased number of visits in remission was associated with reduced radiographic damage.

ObjectiveTo explore associations between remission, based on clinical and ultrasound definitions, and future good radiographic and physical outcome in early rheumatoid arthritis (RA).MethodsNewly diagnosed patients with RA followed a treat-to-target strategy incorporating ultrasound information in the Aiming for Remission in rheumatoid arthritis: a randomised trial examining the benefit of ultrasound in a Clinical TIght Control regimen (ARCTIC) trial. We defined 6-month remission according to Disease Activity Score, Disease Activity Score in 28 joints-erythrocyte sedimentation rate, American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) Boolean criteria, Simplified Disease Activity Index, Clinical Disease Activity Index and two ultrasound definitions (no power Doppler signal, grey scale score ≤2). Two outcomes were defined: no radiographic progression and good outcome (no radiographic progression+physical function≥general population median), both sustained 12–24 months. We calculated the ORs of these outcomes for the remission definitions.ResultsOf 103 patients, 42%–82% reached remission at 6 months, dependent on definition. Seventy-one per cent of patients had no radiographic progression and 37% had good outcome. An association between 6-month remission and no radiographic progression was observed for ACR/EULAR Boolean remission (44 joints, OR 3.2, 95% CI 1.2 to 8.4), ultrasound power Doppler (OR 3.6, 95% CI 1.3 to 10.0) and grey scale remission (OR 3.2, 95% CI 1.2 to 8.0). All clinical, but not ultrasound remission criteria were associated with achievement of a good outcome.ConclusionsOur data support ACR/EULAR Boolean remission based on 44 joints as the preferred treatment target in early RA. Absence of ultrasound inflammation was associated with no radiographic progression.Trial registration number NCT01205854; Post-results.

Methotrexate is one of the cornerstones of rheumatoid arthritis (RA) therapy. Genetic factors or single nucleotide polymorphisms (SNPs) are responsible for 15%–30% of the variation in drug response. Identification of clinically effective SNP biomarkers for predicting methotrexate (MTX) sensitivity has been a challenge. The aim of this study was to explore the association between the disease related outcome of MTX treatment and 23 SNPs in 8 genes of the MTX pathway, as well as one pro-inflammatory related gene in RA patients naïve to MTX. Categorical outcomes such as Disease Activity Score (DAS)-based European Alliance of Associations for Rheumatology (EULAR) non-response at 4 months, The American College of Rheumatology and EULAR (ACR/EULAR) non-remission at 6 months, and failure to sustain MTX monotherapy from 12 to 24 months were assessed, together with continuous outcomes of disease activity, joint pain and fatigue. We found that the SNPs rs1801394 in the MTRR gene, rs408626 in DHFR gene, and rs2259571 in AIF-1 gene were significantly associated with disease activity relevant continuous outcomes. Additionally, SNP rs1801133 in the MTHFR gene was identified to be associated with improved fatigue. Moreover, associations with p values at uncorrected significance level were found in SNPs and different categorical outcomes: 1) rs1476413 in the MTHFR gene and rs3784864 in ABCC1 gene are associated with ACR/EULAR non-remission; 2) rs1801133 in the MTHFR gene is associated with EULAR response; 3) rs246240 in the ABCC1 gene, rs2259571 in the AIF-1 gene, rs2274808 in the SLC19A1 gene and rs1476413 in the MTHFR gene are associated with failure to MTX monotherapy after 12–24 months. The results suggest that SNPs in genes associated with MTX activity may be used to predict MTX relevant-clinical outcomes in patients with RA.